Benefits of an Object-Oriented Multidimensional Data Model
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TL;DR
It is argued that multidimensional modeling is lacking in semantics, which can be obtained by using the O-O paradigm, and some benefits that could be obtained are classified in six O- O-Dimensions.
Abstract
In this paper, we try to outline the goodness of using an O-O model on designing multidimensional Data Marts. We argue that multidimensional modeling is lacking in semantics, which can be obtained by using the O-O paradigm. Some benefits that could be obtained by doing this are classified in six O-O-Dimensions (i.e. Classification/Ins- tantiation, Generalization/Specialization, Aggregation/De-composition, Behavioural, Derivability, and Dynamicity), and exemplified with specific cases.
